{"id":3677676,"url":"https://alion.io/job/google-deepmind-senior-staff-software-engineer-geminiapp-infrastructure","title":"Senior Staff Software Engineer, GeminiApp Infrastructure","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false}],"status":"live","first_seen_at":"2026-11-03T10:40:12Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T22:21:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nWe are the Gemini App Horizontal Agentic Platform and Infrastructure team responsible for all aspects of serving and agentic infrastructure for the Gemini App. This ranges from server architecture, query flow and harness to building necessary tools and dashboard to keep the service running. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization.\nIn this role, you are responsible for building the next-generation serving stack for the Gemini App as it continues to evolve. You need to dynamically adapt to the changing needs of the product and be agile. You will help the entire Gemini App organization move fast through various infrastructure initiatives.\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nBuild high-quality serving infrastructure by inventing novel solutions, solving complex problems, and providing technical guidance to the team.\nThrive in a fast-paced environment, calmly adapting to shifting priorities, project uncertainties, and tight deadlines.\nArticulate the team’s goal and charter to executive leadership, and build strong relationships with key stakeholders to ensure strategic alignment across the Gemini App organization.\nActively cross-pollinate ideas and apply learnings across different projects, contributing to a deeply helpful and collaborative team environment.\nWork and communicate effectively with distributed team members across multiple international time zones to align on priorities and keep projects moving forward.\nQualifications\nMinimum qualifications:\nMaster's degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.\nExperience building, scaling, and debugging backend serving infrastructure or LLM-centric architectures.\nExperience leading the technical development and successful launch of high-impact software products, particularly in the AI, ML, or LLM space.\nPreferred qualifications:\nAbility to drive multiple high-impact LLM-based product launches at scale within an AI-first company environment.\nAbility to help cross-functional teams navigate complex organizational structures.\nAbility to thrive under high product uncertainty, shifting priorities, and tight timelines.\nExcellent communication, leadership, and problem-solving 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